code: def test_pooling_is_max():
      hp = hp_module.HyperParameters()
      hp.values["pooling"] = "max"
      hypermodel = efficientnet.HyperEfficientNet(
          input_shape=INPUT_SHAPE_32, classes=10
      )
      hypermodel.build(hp)
  
file_path: keras-tuner/keras_tuner/applications/efficientnet_test.py
imports: import numpy
  import pytest
  from keras_tuner.applications import efficientnet
  from keras_tuner.backend import config
  from keras_tuner.backend import keras
  from keras_tuner.engine import hypermodel
  from keras_tuner.engine import hyperparameters
label_desc: Use image node_id 9 for calling a global function with example usage: test_pooling_is_max() without return types